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7ef3cb82-13e1-4941-b910-1e26e1a2cc9a/d81eb167-630f-489d-97c0-58936221b7d8/0/0
WOT Web Risk and Safe browsing
Web of Trust API - Assess domain or IP address reputations and risk profiles with the WOT API. Our technology enables you to upgrade your security, protect your users and explore the internet safely.
8
Get reputation data
Get reputation data for specific domains, up to 10 domains per request
200
Response
[{"categories": [{"confidence": 98, "id": 501, "name": "good site"}, {"confidence": 31, "id": 301, "name": "online tracking"}, {"confidence": 16, "id": 304, "name": "other"}, {"confidence": 51, "id": 502, "name": "popular"}], "childSafety": {"confidence": 65, "reputations": 93}, "safety": {"confidence": 67, "reputations": 94, "status": "SAFE"}, "target": "google.com"}]
{"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"categories": {"type": "array", "items": {"type": "object", "properties": {"confidence": {"type": "integer"}, "id": {"type": "integer"}, "name": {"type": "string"}}, "required": ["confidence", "id", "name"]}}, "childSafety": {"type": "object", "properties": {"confidence": {"type": "integer"}, "reputations": {"type": "integer"}}, "required": ["confidence", "reputations"]}, "safety": {"type": "object", "properties": {"confidence": {"type": "integer"}, "reputations": {"type": "integer"}, "status": {"type": "string"}}, "required": ["confidence", "reputations", "status"]}, "target": {"type": "string"}}, "required": ["categories", "childSafety", "safety", "target"]}}
e5853485-1a8c-4de3-9692-cefd2da723fa/b2c324b6-62dd-4c5d-9c7e-025a25a634dd/0/0
Deep Face Detect
Leverage a deep neural network to detect Face(s) and Facial features in images
null
DeepFaceDetect
Upload a public URL of an image and get back the bounding boxes of all faces detect as a JSON object.
200
Response
{"FaceDetails": [{"BoundingBox": {"Height": 0.3722772002220154, "Left": 0.3619585633277893, "Top": 0.06955444067716599, "Width": 0.24071475863456726}, "Confidence": 99.9966049194336, "Landmarks": [{"Type": "eyeLeft", "X": 0.4187353253364563, "Y": 0.22050826251506805}, {"Type": "eyeRight", "X": 0.5220263004302979, "Y": 0.2058711051940918}, {"Type": "mouthLeft", "X": 0.4355103671550751, "Y": 0.35910332202911377}, {"Type": "mouthRight", "X": 0.521386444568634, "Y": 0.34701114892959595}, {"Type": "nose", "X": 0.4624461233615875, "Y": 0.2738065719604492}], "Pose": {"Pitch": 18.469831466674805, "Roll": -6.9020209312438965, "Yaw": -7.473832130432129}, "Quality": {"Brightness": 79.116943359375, "Sharpness": 60.49041748046875}}, {"BoundingBox": {"Height": 0.3688303232192993, "Left": 0.3789346218109131, "Top": 0.5735692381858826, "Width": 0.2331119328737259}, "Confidence": 99.99887084960938, "Landmarks": [{"Type": "eyeLeft", "X": 0.45472460985183716, "Y": 0.7017344832420349}, {"Type": "eyeRight", "X": 0.5590113401412964, "Y": 0.7079513669013977}, {"Type": "mouthLeft", "X": 0.45872554183006287, "Y": 0.8435676693916321}, {"Type": "mouthRight", "X": 0.5460300445556641, "Y": 0.8488050699234009}, {"Type": "nose", "X": 0.5081263184547424, "Y": 0.7828518748283386}], "Pose": {"Pitch": 1.7921981811523438, "Roll": 2.203494071960449, "Yaw": 1.5167242288589478}, "Quality": {"Brightness": 92.29717254638672, "Sharpness": 73.32209777832031}}, {"BoundingBox": {"Height": 0.36506354808807373, "Left": 0.07009584456682205, "Top": 0.5758835077285767, "Width": 0.22075718641281128}, "Confidence": 99.99927520751953, "Landmarks": [{"Type": "eyeLeft", "X": 0.13743829727172852, "Y": 0.7050106525421143}, {"Type": "eyeRight", "X": 0.24017703533172607, "Y": 0.7070242166519165}, {"Type": "mouthLeft", "X": 0.14918100833892822, "Y": 0.8492094278335571}, {"Type": "mouthRight", "X": 0.23490214347839355, "Y": 0.8504218459129333}, {"Type": "nose", "X": 0.2066587656736374, "Y": 0.7767620086669922}], "Pose": {"Pitch": 6.815648555755615, "Roll": 1.588426947593689, "Yaw": 10.702537536621094}, "Quality": {"Brightness": 79.61425018310547, "Sharpness": 73.32209777832031}}, {"BoundingBox": {"Height": 0.36289000511169434, "Left": 0.7478278279304504, "Top": 0.07831358164548874, "Width": 0.21097314357757568}, "Confidence": 99.99853515625, "Landmarks": [{"Type": "eyeLeft", "X": 0.8402160406112671, "Y": 0.23358884453773499}, {"Type": "eyeRight", "X": 0.9260122179985046, "Y": 0.2211489975452423}, {"Type": "mouthLeft", "X": 0.8474500179290771, "Y": 0.35464364290237427}, {"Type": "mouthRight", "X": 0.9193493723869324, "Y": 0.3437369763851166}, {"Type": "nose", "X": 0.9052310585975647, "Y": 0.3053364157676697}], "Pose": {"Pitch": -4.371456146240234, "Roll": -1.6881444454193115, "Yaw": 22.2535343170166}, "Quality": {"Brightness": 95.55977630615234, "Sharpness": 83.14741516113281}}, {"BoundingBox": {"Height": 0.3717265725135803, "Left": 0.7495600581169128, "Top": 0.571673572063446, "Width": 0.204506516456604}, "Confidence": 99.9989013671875, "Landmarks": [{"Type": "eyeLeft", "X": 0.831233561038971, "Y": 0.7071422934532166}, {"Type": "eyeRight", "X": 0.9212548136711121, "Y": 0.7138648629188538}, {"Type": "mouthLeft", "X": 0.8279775977134705, "Y": 0.8462211489677429}, {"Type": "mouthRight", "X": 0.9033733606338501, "Y": 0.8514888882637024}, {"Type": "nose", "X": 0.8897702097892761, "Y": 0.7990508675575256}], "Pose": {"Pitch": -3.7556042671203613, "Roll": 4.556033134460449, "Yaw": 19.380746841430664}, "Quality": {"Brightness": 80.12559509277344, "Sharpness": 67.22731018066406}}, {"BoundingBox": {"Height": 0.3573867082595825, "Left": 0.06239442899823189, "Top": 0.09129802137613297, "Width": 0.21187880635261536}, "Confidence": 99.99840545654297, "Landmarks": [{"Type": "eyeLeft", "X": 0.13039591908454895, "Y": 0.21901221573352814}, {"Type": "eyeRight", "X": 0.2284477800130844, "Y": 0.2126593291759491}, {"Type": "mouthLeft", "X": 0.14257492125034332, "Y": 0.3453969359397888}, {"Type": "mouthRight", "X": 0.22478033602237701, "Y": 0.3400200307369232}, {"Type": "nose", "X": 0.19112519919872284, "Y": 0.28676244616508484}], "Pose": {"Pitch": 0.9425652027130127, "Roll": -2.323817253112793, "Yaw": 8.534285545349121}, "Quality": {"Brightness": 89.41834259033203, "Sharpness": 73.32209777832031}}], "message": "success", "objecturl": "http://www.wilmabainbridge.com/images/10kfacedatabase2.jpg", "resource": "Deep Face Detect in Images by EyeRecognize", "version": "1.002.03"}
{"properties": {"FaceDetails": {"items": {"properties": {"AgeRange": {"properties": {"High": {"type": "integer"}, "Low": {"type": "integer"}}, "type": "object"}, "Beard": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}, "type": "object"}, "BoundingBox": {"properties": {"Height": {"type": "number"}, "Left": {"type": "number"}, "Top": {"type": "number"}, "Width": {"type": "number"}}, "type": "object"}, "Confidence": {"type": "number"}, "Emotions": {"items": {"properties": {"Confidence": {"type": "number"}, "Type": {"type": "string"}}, "type": "object"}, "type": "array"}, "Eyeglasses": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}, "type": "object"}, "EyesOpen": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}, "type": "object"}, "Gender": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "string"}}, "type": "object"}, "Landmarks": {"items": {"properties": {"Type": {"type": "string"}, "X": {"type": "number"}, "Y": {"type": "number"}}, "type": "object"}, "type": "array"}, "MouthOpen": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}, "type": "object"}, "Mustache": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}, "type": "object"}, "Pose": {"properties": {"Pitch": {"type": "number"}, "Roll": {"type": "number"}, "Yaw": {"type": "number"}}, "type": "object"}, "Quality": {"properties": {"Brightness": {"type": "number"}, "Sharpness": {"type": "number"}}, "type": "object"}, "Smile": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}, "type": "object"}, "Sunglasses": {"properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}, "type": "object"}}, "type": "object"}, "type": "array"}, "message": {"type": "string"}, "objecturl": {"type": "string"}, "resource": {"type": "string"}, "version": {"type": "string"}}, "type": "object"}
bd0381d9-e61d-48e3-bfdc-cacaee64adb8/34cefb73-0427-49ad-8e16-8156d3482a83/0/0
Audio Emotion Recognition
The first API of its kind, allows you to get the emotion of a speaker from the audio.
0.1
Emotion Checker
Send it an audio in "wav" format and it will return current emotion value and string.
200
Scream Audio Example
{"string": "fearful", "value": 5}
{"properties": {"string": {"type": "string"}, "value": {"type": "integer"}}, "type": "object"}
01463f8c-0edd-43b4-bbd1-a263fe673004/47efbbf8-9807-4432-b71d-abfc4d1f4dcc/1/0
Text Analyzer
Very powerful API for Text Analysis Tasks
0.3
Content Extraction
This API can be used for extracting the text from given article URL.
422
Example_1
{"detail": [{"loc": "", "msg": "", "type": ""}]}
{"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "Detail", "type": "array"}}, "title": "HTTPValidationError", "type": "object"}
01463f8c-0edd-43b4-bbd1-a263fe673004/781d62af-0575-438d-bbfb-c914a737fc38/1/0
Text Analyzer
Very powerful API for Text Analysis Tasks
0.3
Named Entity Extraction
This API can be used to extract and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages,
422
Example_1
{"detail": [{"loc": "", "msg": "", "type": ""}]}
{"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "Detail", "type": "array"}}, "title": "HTTPValidationError", "type": "object"}
01463f8c-0edd-43b4-bbd1-a263fe673004/e715da72-de1f-4a73-b3c1-491bd82064de/1/0
Text Analyzer
Very powerful API for Text Analysis Tasks
0.3
Part Of Speech Tagging
This API can be used for part-of-speech tagging, also called grammatical tagging is the process of marking up a word in a text as corresponding to a particular part of speech, based on both its definition and its context.
422
Example_1
{"detail": [{"loc": "", "msg": "", "type": ""}]}
{"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "Detail", "type": "array"}}, "title": "HTTPValidationError", "type": "object"}
19b334ad-f6e9-4690-9148-e0a9a1f8ef16/8d0ca844-81ea-46b9-b035-c2d7a1b1418b/0/0
Pronunciation Assessment
Automated English pronunciation assessment API powered by AI
9.3
Pronunciation report
Returns a detailed pronunciation report for a user's speech recording
200
Pronunciation Report
{"words": [{"label": "I", "phones": [{"label": "AY", "label_ipa": "a\u026a", "confidence": 85, "score": 97, "error": false, "sounds_like": [{"label": "AY", "label_ipa": "a\u026a", "confidence": 85}, {"label": "IH", "label_ipa": "\u026a", "confidence": 0}, {"label": "T", "label_ipa": "t", "confidence": 0}]}], "score": 97}, {"label": "really", "phones": [{"label": "R", "label_ipa": "\u0279", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "R", "label_ipa": "\u0279", "confidence": 84}, {"label": "W", "label_ipa": "w", "confidence": 0}, {"label": "ZH", "label_ipa": "\u0292", "confidence": 0}]}, {"label": "IH", "label_ipa": "\u026a", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "IH", "label_ipa": "\u026a", "confidence": 84}, {"label": "IY", "label_ipa": "i", "confidence": 1}, {"label": "AE", "label_ipa": "\u00e6", "confidence": 0}]}, {"label": "L", "label_ipa": "l", "confidence": 85, "score": 97, "error": false, "sounds_like": [{"label": "L", "label_ipa": "l", "confidence": 85}, {"label": "R", "label_ipa": "\u0279", "confidence": 1}, {"label": "V", "label_ipa": "v", "confidence": 0}]}, {"label": "IY", "label_ipa": "i", "confidence": 85, "score": 97, "error": false, "sounds_like": [{"label": "IY", "label_ipa": "i", "confidence": 85}, {"label": "_", "label_ipa": "_", "confidence": 1}, {"label": "EY", "label_ipa": "e\u026a", "confidence": 0}]}], "score": 97}, {"label": "like", "phones": [{"label": "L", "label_ipa": "l", "confidence": 65, "score": 93, "error": false, "sounds_like": [{"label": "L", "label_ipa": "l", "confidence": 65}, {"label": "W", "label_ipa": "w", "confidence": 14}, {"label": "R", "label_ipa": "\u0279", "confidence": 1}]}, {"label": "AY", "label_ipa": "a\u026a", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "AY", "label_ipa": "a\u026a", "confidence": 84}, {"label": "D", "label_ipa": "d", "confidence": 0}, {"label": "UH", "label_ipa": "\u028a", "confidence": 0}]}, {"label": "K", "label_ipa": "k", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "K", "label_ipa": "k", "confidence": 84}, {"label": "_", "label_ipa": "_", "confidence": 0}, {"label": "OW", "label_ipa": "o\u028a", "confidence": 0}]}], "score": 95}, {"label": "green", "phones": [{"label": "G", "label_ipa": "\u0261", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "G", "label_ipa": "\u0261", "confidence": 84}, {"label": "AH", "label_ipa": "\u028c", "confidence": 0}, {"label": "R", "label_ipa": "\u0279", "confidence": 0}]}, {"label": "R", "label_ipa": "\u0279", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "R", "label_ipa": "\u0279", "confidence": 84}, {"label": "IH", "label_ipa": "\u026a", "confidence": 0}, {"label": "AH", "label_ipa": "\u028c", "confidence": 0}]}, {"label": "IY", "label_ipa": "i", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "IY", "label_ipa": "i", "confidence": 84}, {"label": "EY", "label_ipa": "e\u026a", "confidence": 0}, {"label": "TH", "label_ipa": "\u03b8", "confidence": 0}]}, {"label": "N", "label_ipa": "n", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "N", "label_ipa": "n", "confidence": 84}, {"label": "IH", "label_ipa": "\u026a", "confidence": 0}, {"label": "AH", "label_ipa": "\u028c", "confidence": 0}]}], "score": 97}, {"label": "apples", "phones": [{"label": "AE", "label_ipa": "\u00e6", "confidence": 67, "score": 94, "error": false, "sounds_like": [{"label": "AE", "label_ipa": "\u00e6", "confidence": 67}, {"label": "EY", "label_ipa": "e\u026a", "confidence": 2}, {"label": "_", "label_ipa": "_", "confidence": 2}]}, {"label": "P", "label_ipa": "p", "confidence": 85, "score": 97, "error": false, "sounds_like": [{"label": "P", "label_ipa": "p", "confidence": 85}, {"label": "B", "label_ipa": "b", "confidence": 0}, {"label": "D", "label_ipa": "d", "confidence": 0}]}, {"label": "AH", "label_ipa": "\u028c", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "AH", "label_ipa": "\u028c", "confidence": 84}, {"label": "UW", "label_ipa": "u", "confidence": 0}, {"label": "_", "label_ipa": "_", "confidence": 0}]}, {"label": "L", "label_ipa": "l", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "L", "label_ipa": "l", "confidence": 84}, {"label": "SH", "label_ipa": "\u0283", "confidence": 0}, {"label": "R", "label_ipa": "\u0279", "confidence": 0}]}, {"label": "Z", "label_ipa": "z", "confidence": 84, "score": 97, "error": false, "sounds_like": [{"label": "Z", "label_ipa": "z", "confidence": 84}, {"label": "UW", "label_ipa": "u", "confidence": 0}, {"label": "<EOS>", "label_ipa": "<EOS>", "confidence": 0}]}], "score": 96}], "score": 96, "accent_predictions": {"en_US": 83, "en_UK": 2, "en_AU": 2}, "valid_attempt_confidence": 97, "score_estimates": {"ielts": "9", "toefl": "30", "cefr": "C2", "pte_general": "5"}}
{"type": "object", "properties": {"words": {"type": "array", "items": {"type": "object", "properties": {"label": {"type": "string"}, "phones": {"type": "array", "items": {"type": "object", "properties": {"label": {"type": "string"}, "label_ipa": {"type": "string"}, "confidence": {"type": "integer"}, "score": {"type": "integer"}, "error": {"type": "boolean"}, "sounds_like": {"type": "array", "items": {"type": "object", "properties": {"label": {"type": "string"}, "label_ipa": {"type": "string"}, "confidence": {"type": "integer"}}}}}}}, "score": {"type": "integer"}}}}, "score": {"type": "integer"}, "accent_predictions": {"type": "object", "properties": {"en_US": {"type": "integer"}, "en_UK": {"type": "integer"}, "en_AU": {"type": "integer"}}}, "valid_attempt_confidence": {"type": "integer"}, "score_estimates": {"type": "object", "properties": {"ielts": {"type": "string"}, "toefl": {"type": "string"}, "cefr": {"type": "string"}, "pte_general": {"type": "string"}}}}}
19b334ad-f6e9-4690-9148-e0a9a1f8ef16/8d0ca844-81ea-46b9-b035-c2d7a1b1418b/1/0
Pronunciation Assessment
Automated English pronunciation assessment API powered by AI
9.3
Pronunciation report
Returns a detailed pronunciation report for a user's speech recording
500
New Example
{"detail": "Internal server error: Response from pronunciation model timed out"}
{"type": "object", "properties": {"detail": {"type": "string"}}}
19b334ad-f6e9-4690-9148-e0a9a1f8ef16/8d0ca844-81ea-46b9-b035-c2d7a1b1418b/2/0
Pronunciation Assessment
Automated English pronunciation assessment API powered by AI
9.3
Pronunciation report
Returns a detailed pronunciation report for a user's speech recording
422
Invalid field
{"detail": [{"loc": ["body", "audio_format"], "msg": "field required", "type": "value_error.missing"}, {"loc": ["body", "audio_formats"], "msg": "extra fields not permitted", "type": "value_error.extra"}]}
{"type": "object", "properties": {"detail": {"type": "array", "items": {"type": "object", "properties": {"loc": {"type": "array", "items": {"type": "string"}}, "msg": {"type": "string"}, "type": {"type": "string"}}}}}}
19b334ad-f6e9-4690-9148-e0a9a1f8ef16/8d0ca844-81ea-46b9-b035-c2d7a1b1418b/3/0
Pronunciation Assessment
Automated English pronunciation assessment API powered by AI
9.3
Pronunciation report
Returns a detailed pronunciation report for a user's speech recording
400
New Example
{"detail": "Unable to process the base64 audio"}
{"type": "object", "properties": {"detail": {"type": "string"}}}
c8ea079a-5462-458a-89c4-5aa65c3c82b7/f2c8cadd-e05d-445f-bc71-3e6a53ddae3d/0/0
Deep NSFW Detect
Leverage deep neural network to detect nudity, violence, gore, and other "Not Safe For Work" (NSFW) content in images.
0.1
Deep NSFW Detect
Upload a URL of an image and get back whether the image has nudity or similar nsfw content with a confidence score as a JSON object.
200
Response
{"ModerationLabels": [{"Confidence": 93.40769958496094, "Name": "Explicit Nudity", "ParentName": ""}, {"Confidence": 93.40769958496094, "Name": "Graphic Female Nudity", "ParentName": "Explicit Nudity"}, {"Confidence": 79.94879913330078, "Name": "Nudity", "ParentName": "Explicit Nudity"}], "message": "success", "objecturl": "https://di1.ypncdn.com/201711/24/14198469/original/14/amazing-nudity-of-some-babes-on-the-beach-14(m=eaAaaEPbaaaa).jpg", "resource": "Deep NSFW Detect in Images by EyeRecognize", "version": "1.001.23"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"ModerationLabels": {"type": "array", "items": {"type": "object", "properties": {"Confidence": {"type": "number"}, "Name": {"type": "string"}, "ParentName": {"type": "string"}}, "required": ["Confidence", "Name", "ParentName"]}}, "message": {"type": "string"}, "objecturl": {"type": "string"}, "resource": {"type": "string"}, "version": {"type": "string"}}, "required": ["ModerationLabels", "message", "objecturl", "resource", "version"]}
55c20b00-f401-4e8d-bab4-635d04b12f47/229e92bb-924a-4e1e-9842-86f86cb8d986/0/0
Thermographic PV Inspection
Thermographic Inspection of Photovoltaic (PV) Installations
null
Analyze Image URL
Object detection in thermographic pictures given by URLs. Elements detected in images: PV panels PV junction boxes Hot spots Endpoint arguments: image_url - URL to the thermographyc image to be analyzed. min_score - Minimum score to be considered for the detected objects in the output analyzed image. show_scores - Show scores for the detected object in the generated analyzed image. show_labels - Show labels for the detected objects in the output analyzed image.
200
Response
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junction box", "Pv panel", "Pv panel", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Hot spot", "Pv panel", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv panel", "Hot spot", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Hot spot", "Pv junction box", "Pv panel", "Pv junction box", "Pv panel", "Pv junction box", "Hot spot", "Pv junction box", "Pv junction box", "Pv panel", "Pv junction box"], "detection_colors": ["Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Turquoise", "Chartreuse", "Chartreuse", "Chartreuse", "Turquoise", "Chartreuse", "Chartreuse", "Turquoise", "Turquoise", "Chartreuse", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Chartreuse", "Chartreuse", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Yellow", "Chartreuse", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Yellow", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Yellow", "Turquoise", "Chartreuse", "Turquoise", "Chartreuse", "Turquoise", "Yellow", "Turquoise", "Turquoise", "Chartreuse", "Turquoise"], "detection_ids": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 3, 3, 1, 1, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3, 3, 1, 3, 3, 1, 1, 3, 1, 3, 3, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 1, 2, 3, 1, 3, 3, 3, 3, 3, 3, 3, 2, 3, 1, 3, 1, 3, 2, 3, 3, 1, 3], "detection_scores": [0.9037377834320068, 0.8966286182403564, 0.869681179523468, 0.8632769584655762, 0.8541774153709412, 0.8431618213653564, 0.8303173780441284, 0.8128246665000916, 0.8054653406143188, 0.7878116369247437, 0.7830122709274292, 0.7763093709945679, 0.7727073431015015, 0.7711292505264282, 0.7675280570983887, 0.7610886096954346, 0.7480457425117493, 0.7415478825569153, 0.7399967312812805, 0.7294327616691589, 0.7161319255828857, 0.7060195207595825, 0.6744729280471802, 0.6603589057922363, 0.6602890491485596, 0.6600828170776367, 0.6572437286376953, 0.6534056663513184, 0.6504863500595093, 0.6458197832107544, 0.6433240175247192, 0.6430819630622864, 0.639453649520874, 0.6241942048072815, 0.6206861138343811, 0.6068113446235657, 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0.35482606291770935, 0.33951401710510254, 0.3384963572025299, 0.33581632375717163, 0.33433201909065247, 0.32216140627861023, 0.31739935278892517, 0.3156106173992157, 0.308258056640625, 0.3077041506767273, 0.3033806085586548], "image_analyzed_url": "https://storage.googleapis.com/pv_api_images/a179c540-c5e4-4835-ad6c-fb1c521c434f_d.jpg?Expires=1608152766&GoogleAccessId=73815460617-compute%40developer.gserviceaccount.com&Signature=TvPgfpw9GJkwAXDrJKJmpMjcDkJcsQoBKyYzRoTVdLRGIJlY6l196Fo7wxOnDNFCAQOPQxcXZALT%2FHEaUgz42BjU%2F6zGLz%2B6jWt4ePXaFU9cbI8pyc6sHJub3DdZTeBubPBiW6IGq2kKrpcB5Gc14ELRFRy0H2b2Bf65X6BJjRWZR2%2BwIFnpRlXa0O2H0l6xZK3REE%2F520%2BbBHW0AN9xCQqqh%2BWGxbJ25SDxYh0u9tLimHT3nM9WRzPSVcg2Tf1bXQCIhNPoGPVzJEbvYIx4GqqRakypu2k018yqCo2HvR2zAfz9%2B6vKP%2Bbehniuv5XLQI2cxBUe%2B%2FUa2emvK2rTYg%3D%3D", "num_detections": 96}
{"properties": {"detection_boxes": {"items": [{"items": [{"type": "number"}, {"type": "number"}, {"type": "number"}, {"type": "number"}], "type": "array"}], "type": "array"}, "detection_classes": {"items": [{"type": "string"}], "type": "array"}, "detection_colors": {"items": [{"type": "string"}], "type": "array"}, "detection_ids": {"items": [{"type": "integer"}], "type": "array"}, "detection_scores": {"items": [{"type": "number"}], "type": "array"}, "image_analyzed_url": {"type": "string"}, "num_detections": {"type": "integer"}}, "type": "object"}
55c20b00-f401-4e8d-bab4-635d04b12f47/ebfc58ef-bcfd-4ab2-9e5c-121919007b8f/0/0
Thermographic PV Inspection
Thermographic Inspection of Photovoltaic (PV) Installations
null
Analyze Image Data
Object detection in thermographic pictures encoded in base 64. Elements detected in images: PV panels PV junction boxes Hot spots
200
Response
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0.8024292588233948, 0.0834226980805397], [0.09626545757055283, 0.5525162816047668, 0.12425646930932999, 0.5752492547035217]], "detection_classes": ["Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv panel", "Pv junction box", "Pv panel", "Pv panel", "Pv panel", "Pv junction box", "Pv panel", "Pv panel", "Pv junction box", "Pv junction box", "Pv panel", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv panel", "Pv panel", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Hot spot", "Pv panel", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv panel", "Hot spot", "Pv junction box", "Pv panel", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Pv junction box", "Hot spot", "Pv junction box", "Pv panel", "Pv junction box", "Pv panel", "Pv junction box", "Hot spot", "Pv junction box", "Pv junction box", "Pv panel", "Pv junction box"], "detection_colors": ["Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Chartreuse", "Turquoise", "Chartreuse", "Chartreuse", "Chartreuse", "Turquoise", "Chartreuse", "Chartreuse", "Turquoise", "Turquoise", "Chartreuse", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Chartreuse", "Chartreuse", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Yellow", "Chartreuse", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Chartreuse", "Yellow", "Turquoise", "Chartreuse", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Turquoise", "Yellow", "Turquoise", "Chartreuse", "Turquoise", "Chartreuse", "Turquoise", "Yellow", "Turquoise", "Turquoise", "Chartreuse", "Turquoise"], "detection_ids": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 3, 3, 1, 1, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3, 3, 1, 3, 3, 1, 1, 3, 1, 3, 3, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 1, 2, 3, 1, 3, 3, 3, 3, 3, 3, 3, 2, 3, 1, 3, 1, 3, 2, 3, 3, 1, 3], "detection_scores": [0.9037377834320068, 0.8966286182403564, 0.869681179523468, 0.8632769584655762, 0.8541774153709412, 0.8431618213653564, 0.8303173780441284, 0.8128246665000916, 0.8054653406143188, 0.7878116369247437, 0.7830122709274292, 0.7763093709945679, 0.7727073431015015, 0.7711292505264282, 0.7675280570983887, 0.7610886096954346, 0.7480457425117493, 0.7415478825569153, 0.7399967312812805, 0.7294327616691589, 0.7161319255828857, 0.7060195207595825, 0.6744729280471802, 0.6603589057922363, 0.6602890491485596, 0.6600828170776367, 0.6572437286376953, 0.6534056663513184, 0.6504863500595093, 0.6458197832107544, 0.6433240175247192, 0.6430819630622864, 0.639453649520874, 0.6241942048072815, 0.6206861138343811, 0.6068113446235657, 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0.35482606291770935, 0.33951401710510254, 0.3384963572025299, 0.33581632375717163, 0.33433201909065247, 0.32216140627861023, 0.31739935278892517, 0.3156106173992157, 0.308258056640625, 0.3077041506767273, 0.3033806085586548], "image_analyzed_url": "https://storage.googleapis.com/pv_api_images/a179c540-c5e4-4835-ad6c-fb1c521c434f_d.jpg?Expires=1608152766&GoogleAccessId=73815460617-compute%40developer.gserviceaccount.com&Signature=TvPgfpw9GJkwAXDrJKJmpMjcDkJcsQoBKyYzRoTVdLRGIJlY6l196Fo7wxOnDNFCAQOPQxcXZALT%2FHEaUgz42BjU%2F6zGLz%2B6jWt4ePXaFU9cbI8pyc6sHJub3DdZTeBubPBiW6IGq2kKrpcB5Gc14ELRFRy0H2b2Bf65X6BJjRWZR2%2BwIFnpRlXa0O2H0l6xZK3REE%2F520%2BbBHW0AN9xCQqqh%2BWGxbJ25SDxYh0u9tLimHT3nM9WRzPSVcg2Tf1bXQCIhNPoGPVzJEbvYIx4GqqRakypu2k018yqCo2HvR2zAfz9%2B6vKP%2Bbehniuv5XLQI2cxBUe%2B%2FUa2emvK2rTYg%3D%3D", "num_detections": 96}
{"properties": {"detection_boxes": {"items": [{"items": [{"type": "number"}, {"type": "number"}, {"type": "number"}, {"type": "number"}], "type": "array"}], "type": "array"}, "detection_classes": {"items": [{"type": "string"}], "type": "array"}, "detection_colors": {"items": [{"type": "string"}], "type": "array"}, "detection_ids": {"items": [{"type": "integer"}], "type": "array"}, "detection_scores": {"items": [{"type": "number"}], "type": "array"}, "image_analyzed_url": {"type": "string"}, "num_detections": {"type": "integer"}}, "type": "object"}
93607a86-6430-45f4-a4cb-e66aa29c8a01/0093f24a-c57d-42f3-bb40-c4abdeadf3f3/0/0
Object Detection
Torus Computer Object Detection and Classification API.
null
CLASS_OBJETOS
Lists toruscomputer.ia model's labels and it's hashed values.
422
Example_1
{"detail": [{"loc": [], "msg": "", "type": ""}]}
{"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "Detail", "type": "array"}}, "title": "HTTPValidationError", "type": "object"}
93607a86-6430-45f4-a4cb-e66aa29c8a01/268699aa-9969-43a2-81e7-7ab2d631e5a0/0/0
Object Detection
Torus Computer Object Detection and Classification API.
null
DETECTA
Performs a prediction for a specified image using toruscomputer.ia available models.
422
Example_1
{"detail": [{"loc": [], "msg": "", "type": ""}]}
{"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "Detail", "type": "array"}}, "title": "HTTPValidationError", "type": "object"}
93607a86-6430-45f4-a4cb-e66aa29c8a01/268699aa-9969-43a2-81e7-7ab2d631e5a0/1/0
Object Detection
Torus Computer Object Detection and Classification API.
null
DETECTA
Performs a prediction for a specified image using toruscomputer.ia available models.
200
Response
{"bounding-boxes": [{"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 98.68982434272766, "coordinates": {"bottom": 448.9479522705078, "left": 0, "right": 346.4693145751953, "top": 21.043136596679688}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 98.1796383857727, "coordinates": {"bottom": 901.6954345703125, "left": 1700.6994018554688, "right": 2047, "top": 464.0111083984375}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 97.90872931480408, "coordinates": {"bottom": 904.9434814453125, "left": 2.243621826171875, "right": 326.2356872558594, "top": 471.2156982421875}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 97.68599271774292, "coordinates": {"bottom": 447.56951904296875, "left": 1019.5906677246094, "right": 1369.4752502441406, "top": 12.7071533203125}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 97.4763035774231, "coordinates": {"bottom": 449.8795928955078, "left": 342.1776580810547, "right": 683.6754913330078, "top": 4.9790496826171875}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 97.13950753211975, "coordinates": {"bottom": 447.2685852050781, "left": 1360.448501586914, "right": 1709.991439819336, "top": 1.558135986328125}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 97.12297320365906, "coordinates": {"bottom": 903.6820068359375, "left": 340.7032470703125, "right": 682.9105224609375, "top": 471.0794677734375}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 96.96482419967651, "coordinates": {"bottom": 447.9432373046875, "left": 673.4901885986328, "right": 1033.8369598388672, "top": 8.84625244140625}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 96.42876386642456, "coordinates": {"bottom": 908.5426177978516, "left": 1030.2511291503906, "right": 1359.9983825683594, "top": 461.57542419433594}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 96.4063823223114, "coordinates": {"bottom": 909.4084320068359, "left": 1351.0796356201172, "right": 1709.7008819580078, "top": 469.34107971191406}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 96.36062383651733, "coordinates": {"bottom": 452.40509033203125, "left": 1699.2841491699219, "right": 2047, "top": 6.067352294921875}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 95.8392083644867, "coordinates": {"bottom": 906.6528167724609, "left": 682.5236206054688, "right": 1025.4446411132812, "top": 456.15174865722656}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 94.28766369819641, "coordinates": {"bottom": 1364, "left": 1695.4851989746094, "right": 2047, "top": 915.2302398681641}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 93.98515224456787, "coordinates": {"bottom": 1364, "left": 0, "right": 349.24468994140625, "top": 917.3810119628906}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 88.37089538574219, "coordinates": {"bottom": 1364, "left": 1019.3402557373047, "right": 1374.3531036376953, "top": 932.7820281982422}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 84.7420871257782, "coordinates": {"bottom": 1364, "left": 1346.0716857910156, "right": 1730.6582946777344, "top": 917.494873046875}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 81.96432590484619, "coordinates": {"bottom": 1364, "left": 292.50624084472656, "right": 703.7736663818359, "top": 918.9412078857422}}, {"ObjectClassId": 0, "ObjectClassName": "Pedestre", "confidence": 81.36398792266846, "coordinates": {"bottom": 1364, "left": 669.0587005615234, "right": 1033.9791412353516, "top": 916.0201873779297}}]}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"bounding-boxes": {"type": "array", "items": {"type": "object", "properties": {"ObjectClassId": {"type": "integer"}, "ObjectClassName": {"type": "string"}, "confidence": {"type": "number"}, "coordinates": {"type": "object", "properties": {"bottom": {"type": "number"}, "left": {"type": "number"}, "right": {"type": "number"}, "top": {"type": "number"}}, "required": ["bottom", "left", "right", "top"]}}, "required": ["ObjectClassId", "ObjectClassName", "confidence", "coordinates"]}}}, "required": ["bounding-boxes"]}
9cbf9ecf-fc29-4726-a3f7-9f87a34cb84d/dbe7854b-d103-403c-945b-0e99490eb3d5/0/0
Text To Speech
HiVoicy TTS API can convert any text to voice. (English, French and Persian)
0.3
Gettext
HiVoicy TTS API can convert any text to voice. (English, French and Persian). The maximum length of a request can be 250 characters Support French, English & Persian (more languages soon) **Human-like natural sounding voices
200
Response
{"statusCode": 200, "statusMessage": "Ok", "hasError": false, "data": {"text": "hello world..", "language": "en", "fileType": "audio/mpeg", "soundBase64": "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"}}
{"type": "object", "properties": {"statusCode": {"type": "integer"}, "statusMessage": {"type": "string"}, "hasError": {"type": "boolean"}, "data": {"type": "object", "properties": {"text": {"type": "string"}, "language": {"type": "string"}, "fileType": {"type": "string"}, "soundBase64": {"type": "string"}}}}}
704f6a0e-537a-431c-b9a3-5b71eb9b5a1c/43bb2036-08a9-4983-8b9d-23284e3defa2/1/0
Text in Images Recognition
Uses a Deep Neural Network to detect text in images and returns strings of readable text.
8.6
DeepTextDetect
Detects text in images and returns the text as a string.
200
Response
{"TextDetections": [{"Confidence": 89.25491333007812, "DetectedText": "X", "Geometry": {"BoundingBox": {"Height": 0.4851818084716797, "Left": 0.053263016045093536, "Top": 0.15710867941379547, "Width": 0.2763091027736664}, "Polygon": [{"X": 0.053263016045093536, "Y": 0.15710867941379547}, {"X": 0.3295721113681793, "Y": 0.15579816699028015}, {"X": 0.33008450269699097, "Y": 0.6409799456596375}, {"X": 0.053775396198034286, "Y": 0.642290472984314}]}, "Id": 0, "Type": "LINE"}, {"Confidence": 92.2047348022461, "DetectedText": "csS weekly #2", "Geometry": {"BoundingBox": {"Height": 0.0829153060913086, "Left": 0.3803192377090454, "Top": 0.16866618394851685, "Width": 0.28959810733795166}, "Polygon": [{"X": 0.3803192377090454, "Y": 0.16866618394851685}, {"X": 0.6699173450469971, "Y": 0.16818472743034363}, {"X": 0.6699480414390564, "Y": 0.2511000335216522}, {"X": 0.38034993410110474, "Y": 0.25158149003982544}]}, "Id": 1, "Type": "LINE"}, {"Confidence": 99.38756561279297, "DetectedText": "An image on", "Geometry": {"BoundingBox": {"Height": 0.17125774919986725, "Left": 0.38040846586227417, "Top": 0.302351176738739, "Width": 0.454547256231308}, "Polygon": [{"X": 0.38040846586227417, "Y": 0.302351176738739}, {"X": 0.8349557518959045, "Y": 0.3148144781589508}, {"X": 0.8339101672172546, "Y": 0.48607224225997925}, {"X": 0.37936291098594666, "Y": 0.47360891103744507}]}, "Id": 2, "Type": "LINE"}, {"Confidence": 99.89490509033203, "DetectedText": "the left, text", "Geometry": {"BoundingBox": {"Height": 0.15997111797332764, "Left": 0.38111773133277893, "Top": 0.4574413001537323, "Width": 0.43864989280700684}, "Polygon": [{"X": 0.38111773133277893, "Y": 0.4574413001537323}, {"X": 0.8197675943374634, "Y": 0.46595537662506104}, {"X": 0.8190762400627136, "Y": 0.6259264945983887}, {"X": 0.3804263770580292, "Y": 0.6174123883247375}]}, "Id": 3, "Type": "LINE"}, {"Confidence": 99.63389587402344, "DetectedText": "on right", "Geometry": {"BoundingBox": {"Height": 0.17333105206489563, "Left": 0.38259759545326233, "Top": 0.6262943744659424, "Width": 0.4231126606464386}, "Polygon": [{"X": 0.38259759545326233, "Y": 0.6262943744659424}, {"X": 0.8057102560997009, "Y": 0.6263911128044128}, {"X": 0.8057014346122742, "Y": 0.7997221350669861}, {"X": 0.38258877396583557, "Y": 0.7996254563331604}]}, "Id": 4, "Type": "LINE"}, {"Confidence": 99.97564697265625, "DetectedText": "the", "Geometry": {"BoundingBox": {"Height": 0.13513512909412384, "Left": 0.4951237738132477, "Top": 0.6263911128044128, "Width": 0.11702925711870193}, "Polygon": [{"X": 0.4951237738132477, "Y": 0.6263911128044128}, {"X": 0.6121530532836914, "Y": 0.6263911128044128}, {"X": 0.6121530532836914, "Y": 0.7615262269973755}, {"X": 0.4951237738132477, "Y": 0.7615262269973755}]}, "Id": 5, "Type": "LINE"}, {"Confidence": 89.25491333007812, "DetectedText": "X", "Geometry": {"BoundingBox": {"Height": 0.48330917954444885, "Left": 0.05326331406831741, "Top": 0.157392680644989, "Width": 0.27532342076301575}, "Polygon": [{"X": 0.05326331406831741, "Y": 0.157392680644989}, {"X": 0.32858213782310486, "Y": 0.1558028608560562}, {"X": 0.330082505941391, "Y": 0.6391096711158752}, {"X": 0.05401350185275078, "Y": 0.6422893404960632}]}, "Id": 6, "ParentId": 0, "Type": "WORD"}, {"Confidence": 77.05399322509766, "DetectedText": "csS", "Geometry": {"BoundingBox": {"Height": 0.06836248189210892, "Left": 0.38034507632255554, "Top": 0.170111283659935, "Width": 0.08102025836706161}, "Polygon": [{"X": 0.38034507632255554, "Y": 0.170111283659935}, {"X": 0.46136534214019775, "Y": 0.170111283659935}, {"X": 0.46136534214019775, "Y": 0.2384737730026245}, {"X": 0.38034507632255554, "Y": 0.2384737730026245}]}, "Id": 7, "ParentId": 1, "Type": "WORD"}, {"Confidence": 99.62911224365234, "DetectedText": "weekly", "Geometry": {"BoundingBox": {"Height": 0.0826709046959877, "Left": 0.4673668444156647, "Top": 0.1685214638710022, "Width": 0.14703676104545593}, "Polygon": [{"X": 0.4673668444156647, "Y": 0.1685214638710022}, {"X": 0.6144036054611206, "Y": 0.1685214638710022}, {"X": 0.6144036054611206, "Y": 0.2511923611164093}, {"X": 0.4673668444156647, "Y": 0.2511923611164093}]}, "Id": 8, "ParentId": 1, "Type": "WORD"}, {"Confidence": 99.93108367919922, "DetectedText": "#2", "Geometry": {"BoundingBox": {"Height": 0.06995230168104172, "Left": 0.6159039735794067, "Top": 0.1685214638710022, "Width": 0.05401350185275078}, "Polygon": [{"X": 0.6159039735794067, "Y": 0.1685214638710022}, {"X": 0.6699174642562866, "Y": 0.1685214638710022}, {"X": 0.6699174642562866, "Y": 0.2384737730026245}, {"X": 0.6159039735794067, "Y": 0.2384737730026245}]}, "Id": 9, "ParentId": 1, "Type": "WORD"}, {"Confidence": 99.87763977050781, "DetectedText": "An", "Geometry": {"BoundingBox": {"Height": 0.11923924088478088, "Left": 0.38034507632255554, "Top": 0.317965030670166, "Width": 0.10202550888061523}, "Polygon": [{"X": 0.38034507632255554, "Y": 0.317965030670166}, {"X": 0.4823705852031708, "Y": 0.317965030670166}, {"X": 0.4816204011440277, "Y": 0.43720191717147827}, {"X": 0.3795948922634125, "Y": 0.4356120824813843}]}, "Id": 10, "ParentId": 2, "Type": "WORD"}, {"Confidence": 99.91194915771484, "DetectedText": "image", "Geometry": {"BoundingBox": {"Height": 0.1637519896030426, "Left": 0.5011252760887146, "Top": 0.3116057217121124, "Width": 0.21680420637130737}, "Polygon": [{"X": 0.5011252760887146, "Y": 0.3116057217121124}, {"X": 0.717929482460022, "Y": 0.3116057217121124}, {"X": 0.717929482460022, "Y": 0.47535771131515503}, {"X": 0.5011252760887146, "Y": 0.476947546005249}]}, "Id": 11, "ParentId": 2, "Type": "WORD"}, {"Confidence": 98.37310028076172, "DetectedText": "on", "Geometry": {"BoundingBox": {"Height": 0.09697933495044708, "Left": 0.7396849393844604, "Top": 0.341812402009964, "Width": 0.09453699737787247}, "Polygon": [{"X": 0.7396849393844604, "Y": 0.341812402009964}, {"X": 0.8342085480690002, "Y": 0.34022256731987}, {"X": 0.8342085480690002, "Y": 0.43720191717147827}, {"X": 0.7396849393844604, "Y": 0.4387917220592499}]}, "Id": 12, "ParentId": 2, "Type": "WORD"}, {"Confidence": 99.9830093383789, "DetectedText": "the", "Geometry": {"BoundingBox": {"Height": 0.13831478357315063, "Left": 0.3810952603816986, "Top": 0.46263912320137024, "Width": 0.11702925711870193}, "Polygon": [{"X": 0.3810952603816986, "Y": 0.46263912320137024}, {"X": 0.49812453985214233, "Y": 0.46263912320137024}, {"X": 0.49812453985214233, "Y": 0.6009538769721985}, {"X": 0.3810952603816986, "Y": 0.6009538769721985}]}, "Id": 13, "ParentId": 3, "Type": "WORD"}, {"Confidence": 99.7481918334961, "DetectedText": "left,", "Geometry": {"BoundingBox": {"Height": 0.1558028608560562, "Left": 0.5153788328170776, "Top": 0.46263912320137024, "Width": 0.13353338837623596}, "Polygon": [{"X": 0.5153788328170776, "Y": 0.46263912320137024}, {"X": 0.648912250995636, "Y": 0.46263912320137024}, {"X": 0.648912250995636, "Y": 0.6184419989585876}, {"X": 0.5153788328170776, "Y": 0.6200317740440369}]}, "Id": 14, "ParentId": 3, "Type": "WORD"}, {"Confidence": 99.9535140991211, "DetectedText": "text", "Geometry": {"BoundingBox": {"Height": 0.11446986347436905, "Left": 0.6759189963340759, "Top": 0.4833068251609802, "Width": 0.14254449307918549}, "Polygon": [{"X": 0.6759189963340759, "Y": 0.4833068251609802}, {"X": 0.8184546232223511, "Y": 0.4817170202732086}, {"X": 0.8192048072814941, "Y": 0.5961844325065613}, {"X": 0.6759189963340759, "Y": 0.5977742671966553}]}, "Id": 15, "ParentId": 3, "Type": "WORD"}, {"Confidence": 99.27383422851562, "DetectedText": "on", "Geometry": {"BoundingBox": {"Height": 0.09698223322629929, "Left": 0.38259565830230713, "Top": 0.6645469069480896, "Width": 0.09228676557540894}, "Polygon": [{"X": 0.38259565830230713, "Y": 0.6645469069480896}, {"X": 0.4748687148094177, "Y": 0.6629570722579956}, {"X": 0.4756188988685608, "Y": 0.7599363923072815}, {"X": 0.38259565830230713, "Y": 0.7631160616874695}]}, "Id": 16, "ParentId": 4, "Type": "WORD"}, {"Confidence": 99.97564697265625, "DetectedText": "the", "Geometry": {"BoundingBox": {"Height": 0.13513512909412384, "Left": 0.4951237738132477, "Top": 0.6263911128044128, "Width": 0.11702925711870193}, "Polygon": [{"X": 0.4951237738132477, "Y": 0.6263911128044128}, {"X": 0.6121530532836914, "Y": 0.6263911128044128}, {"X": 0.6121530532836914, "Y": 0.7615262269973755}, {"X": 0.4951237738132477, "Y": 0.7615262269973755}]}, "Id": 18, "ParentId": 5, "Type": "WORD"}, {"Confidence": 99.99396514892578, "DetectedText": "right", "Geometry": {"BoundingBox": {"Height": 0.1732909381389618, "Left": 0.6301575303077698, "Top": 0.6263911128044128, "Width": 0.1755438894033432}, "Polygon": [{"X": 0.6301575303077698, "Y": 0.6263911128044128}, {"X": 0.8057014346122742, "Y": 0.6263911128044128}, {"X": 0.8057014346122742, "Y": 0.7996820211410522}, {"X": 0.6301575303077698, "Y": 0.7996820211410522}]}, "Id": 17, "ParentId": 4, "Type": "WORD"}], "message": "success", "objecturl": "https://miro.medium.com/max/2400/1*T8LN_mDq8vNrD63IIIgzjQ.png", "resource": "Text in Images by EyeRecognize", "version": "1.002.30"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"TextDetections": {"type": "array", "items": {"type": "object", "properties": {"Confidence": {"type": "number"}, "DetectedText": {"type": "string"}, "Geometry": {"type": "object", "properties": {"BoundingBox": {"type": "object", "properties": {"Height": {"type": "number"}, "Left": {"type": "number"}, "Top": {"type": "number"}, "Width": {"type": "number"}}, "required": ["Height", "Left", "Top", "Width"]}, "Polygon": {"type": "array", "items": {"type": "object", "properties": {"X": {"type": "number"}, "Y": {"type": "number"}}, "required": ["X", "Y"]}}}, "required": ["BoundingBox", "Polygon"]}, "Id": {"type": "integer"}, "Type": {"type": "string"}, "ParentId": {"type": "integer"}}, "required": ["Confidence", "DetectedText", "Geometry", "Id", "Type"]}}, "message": {"type": "string"}, "objecturl": {"type": "string"}, "resource": {"type": "string"}, "version": {"type": "string"}}, "required": ["TextDetections", "message", "objecturl", "resource", "version"]}
f4748482-951e-4711-8c95-859dc080439f/58a1f8d9-bcff-43d8-a2ec-b099138fcdf7/0/0
RoboMatic.AI
A chatbot that can be used to automate your business or for fun. For more info: https://robomatic.ai, REST API documentation: https://robomatic.ai/doc/API_-_REST
9.5
Sending input
Sending user input to the chatbot
200
New Example
{"out": "I said it before,\u00a0Ok, so the answer of\u00a02 plus 5 is 7", "request_duration": "5551ms", "steps_benchmark": {"begin": "53ms", "check_expected_inputs": "4633ms", "finalization": "15ms", "get_outputs": "54ms", "input_blocks_matching": "4462ms", "input_query": "6ms"}, "who": "Chatbot", "whotype": 2}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"out": {"type": "string"}, "request_duration": {"type": "string"}, "steps_benchmark": {"type": "object", "properties": {"begin": {"type": "string"}, "check_expected_inputs": {"type": "string"}, "finalization": {"type": "string"}, "get_outputs": {"type": "string"}, "input_blocks_matching": {"type": "string"}, "input_query": {"type": "string"}}, "required": ["begin", "check_expected_inputs", "finalization", "get_outputs", "input_blocks_matching", "input_query"]}, "who": {"type": "string"}, "whotype": {"type": "integer"}}, "required": ["out", "request_duration", "steps_benchmark", "who", "whotype"]}
cc0b0d97-fc7c-4f17-ab68-4ac05deb5ea0/bf02f21f-12e1-41d1-a8a0-0389b330268f/0/0
Deep Image Object Recognition
Leverages a deep neural network to detect objects in images and returns bounding box coordinates and label for each item detected.
0.2
Post a Public URL pointing to an image
Takes a public URL of an image and returns labels detected.
200
Response
{"Labels": [{"Confidence": 99.73126983642578, "Instances": [], "Name": "Plant", "Parents": []}, {"Confidence": 99.63301849365234, "Instances": [], "Name": "Peony", "Parents": [{"Name": "Flower"}, {"Name": "Plant"}]}, {"Confidence": 99.63301849365234, "Instances": [], "Name": "Blossom", "Parents": [{"Name": "Plant"}]}, {"Confidence": 99.63301849365234, "Instances": [], "Name": "Flower", "Parents": [{"Name": "Plant"}]}], "message": "success", "objecturl": "https://www.pervocvet-shop.ru/img/work/nomencl/5592.jpg", "resource": "Deep Object Detect in Images by EyeRecognize", "version": "1.001.02"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"Labels": {"type": "array", "items": {"type": "object", "properties": {"Confidence": {"type": "number"}, "Instances": {"type": "array"}, "Name": {"type": "string"}, "Parents": {"type": "array", "items": {"type": "object", "properties": {"Name": {"type": "string"}}, "required": ["Name"]}}}, "required": ["Confidence", "Instances", "Name", "Parents"]}}, "message": {"type": "string"}, "objecturl": {"type": "string"}, "resource": {"type": "string"}, "version": {"type": "string"}}, "required": ["Labels", "message", "objecturl", "resource", "version"]}
446b4239-e5d7-4d0f-a173-056e1e5957b4/59a59a41-a7eb-45f3-8944-c1854d907978/0/0
Ecer
https://www.ecer.com
null
ecer/search
200
null
{"items": [{"url": "", "name": "", "price_raw": "", "price": 0, "small_image": "", "big_image": "", "brand_name": "", "company_name": "", "company_url": ""}], "query": "", "page": 0, "page_size": 0, "currency": ""}
{"required": ["currency", "items", "page", "page_size", "query"], "type": "object", "properties": {"items": {"type": "array", "items": {"required": ["big_image", "brand_name", "company_name", "company_url", "name", "small_image", "url"], "type": "object", "properties": {"url": {"type": "string"}, "name": {"type": "string"}, "price_raw": {"type": "string"}, "price": {"type": "number", "format": "double", "minimum": -1.7976931348623157e+308, "maximum": 1.7976931348623157e+308}, "small_image": {"type": "string"}, "big_image": {"type": "string"}, "brand_name": {"type": "string"}, "company_name": {"type": "string"}, "company_url": {"type": "string"}}}}, "query": {"type": "string"}, "page": {"type": "integer", "format": "int32", "minimum": -2147483648, "maximum": 2147483647}, "page_size": {"type": "integer", "format": "int32", "minimum": -2147483648, "maximum": 2147483647}, "currency": {"type": "string"}}}
26b5eee3-82ad-4491-8a95-5b91685a3090/14f1b967-a084-4c06-b3de-3ebdf0883a7b/0/0
busca-endereco
API para encontrar o CEP de um determinado endereço utilizando o sistema dos Correios
null
search
search
200
Response
[{"city": "Cidade teste", "neighborhood": "Bairro teste", "number": "99999999", "place": "Rua teste", "state": "EX"}]
{"items": {"properties": {"city": {"type": "string"}, "neighborhood": {"type": "string"}, "number": {"type": "string"}, "place": {"type": "string"}, "state": {"type": "string"}}, "type": "object"}, "type": "array"}
8f0dc812-323d-4f63-b2a5-441fa883cafb/c4053090-b6ae-47d1-8d72-5682612b84a8/0/0
Currency
Free-text currency converter with no knowledge of currency symbols or exchange rates. Simply supply an English text string in any format and receive a standard JSON response.
7.4
currency
Returns a JSON response based on a plain text query requesting currency conversion
200
Convert 200 Canadian dollars to US
{"response": "Ok", "source": "CAD", "destination": "USD", "amount": "200", "converted": "144.60468011666"}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"response": {"type": "string"}, "source": {"type": "string"}, "destination": {"type": "string"}, "amount": {"type": "string"}, "converted": {"type": "string"}}, "required": ["amount", "converted", "destination", "response", "source"]}
76fbcec7-99e0-484e-ab5d-58d7368b300d/bf001b27-aaeb-46fc-af43-889f91140416/0/0
Check Credit Card
Introducing DaddyAPI's Credit Card Validation API - a fast and efficient solution for verifying the validity of credit card numbers. This API utilizes advanced algorithms and real-time updates to validate credit card numbers, ensuring that they are genuine and belong to a real issuer. The API is designed to be easy to integrate into your existing system, providing instant results with a simple API call. Whether you're an e-commerce platform, a payment gateway, or any other business that needs...
8
Check
Check if the credit card number is valid.
200
Example
{"card": "555555555555555", "valid": false}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"card": {"type": "string"}, "valid": {"type": "boolean"}}, "required": ["card", "valid"]}
fa89faf1-040f-4250-bcda-710c112d7961/c3f4b554-d9b6-48f1-b0f8-94193801779a/0/0
Taobao Tmall 1688
Taobao Tmall 1688 item detail. get item detail form id, full url, share text eg m.tb.cn, qr.1688.com
9.7
Item detail
get item detail
404
item not found
{"item": null, "error": "Not found. Please try again."}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"item": {"type": "null"}, "error": {"type": "string"}}, "required": ["error", "item"]}
fa89faf1-040f-4250-bcda-710c112d7961/c3f4b554-d9b6-48f1-b0f8-94193801779a/1/0
Taobao Tmall 1688
Taobao Tmall 1688 item detail. get item detail form id, full url, share text eg m.tb.cn, qr.1688.com
9.7
Item detail
get item detail
200
item detail success
{"item": {"num_iid": "730337851259", "title": "\u767d\u8272\u9488\u7ec7\u534a\u9ad8\u9886\u6b63\u80a9\u77ed\u8896t\u6064\u5973\u590f\u5b63\u77ed\u6b3e\u51b0\u4e1d\u8bbe\u8ba1\u611f\u5c0f\u4f17\u5bbd\u677e\u4e0a\u8863\u590f", "desc_short": "", "price": "79.00", "total_price": 0, "suggestive_price": 0, "orginal_price": "109.00", "nick": "\u73c2\u8339\u65d7\u8230\u5e97", "num": null, "min_num": 0, "detail_url": "https://item.taobao.com/item.htm?id=730337851259", "pic_url": "https://img.alicdn.com/imgextra/i3/3818080547/O1CN014EFMfH1FuZVeg2Wwc_!!0-item_pic.jpg", "desc": "<img src=\"https://img.alicdn.com/imgextra/i1/3818080547/O1CN013N2cdF1FuZVZPzjlJ_!!3818080547.png\" />", "desc_img": ["https://img.alicdn.com/imgextra/i1/3818080547/O1CN013N2cdF1FuZVZPzjlJ_!!3818080547.png"], "item_imgs": [{"url": "https://img.alicdn.com/imgextra/i3/3818080547/O1CN014EFMfH1FuZVeg2Wwc_!!0-item_pic.jpg"}, {"url": "https://img.alicdn.com/imgextra/i4/3818080547/O1CN01GNC9UB1FuZVYnc1TF_!!3818080547.jpg"}, 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fa89faf1-040f-4250-bcda-710c112d7961/9a2524b6-7fe1-4891-a332-f45130968371/0/0
Taobao Tmall 1688
Taobao Tmall 1688 item detail. get item detail form id, full url, share text eg m.tb.cn, qr.1688.com
9.7
v2 Item detail
get item detail
404
item not found
{"item": null, "error": "Not found. Please try again."}
{"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"item": {"type": "null"}, "error": {"type": "string"}}, "required": ["error", "item"]}
fa89faf1-040f-4250-bcda-710c112d7961/9a2524b6-7fe1-4891-a332-f45130968371/1/0
Taobao Tmall 1688
Taobao Tmall 1688 item detail. get item detail form id, full url, share text eg m.tb.cn, qr.1688.com
9.7
v2 Item detail
get item detail
200
item detail success
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fa89faf1-040f-4250-bcda-710c112d7961/bc7a2e08-dc07-439d-9bf2-df8e0d69385a/0/0
Taobao Tmall 1688
Taobao Tmall 1688 item detail. get item detail form id, full url, share text eg m.tb.cn, qr.1688.com
9.7
get item form url or share text
get item detail form url or share text in mobile
404
item not found
{"item": null, "error": "Not found. Please try again."}
{"type": "object", "properties": {"item": {"type": "null"}, "error": {"type": "string"}}}
fa89faf1-040f-4250-bcda-710c112d7961/bc7a2e08-dc07-439d-9bf2-df8e0d69385a/1/0
Taobao Tmall 1688
Taobao Tmall 1688 item detail. get item detail form id, full url, share text eg m.tb.cn, qr.1688.com
9.7
get item form url or share text
get item detail form url or share text in mobile
200
item detail success
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